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Build and lead the Applications Engineering team. Shape the strategy, technical direction, and culture of a team that will directly impact the entire organization. Manage a talented team of systems engineers and system administrators and provide hands-on technical leadership. Architect a cohesive and secure SaaS ecosystem, drive enterprise AI strategy, and champion a culture of automation and continuous improvement. The team manages the critical SaaS applications, integrations and automations that powers engineering and business operations and drives the use of Enterprise AI to create intelligent, end-to-end solutions.
Job Responsibility:
Develop and execute a long-term strategy and roadmap for the Corporate Engineering function that enables tooling for: Incident management, Knowledge and Document Management, Work and project management, Analytics and Visualization, Communication, etc.
Design and oversee a scalable, secure, and integrated ecosystem of enterprise applications (Jira, Confluence, Slack, Google Workspace, OpsGenie, Firehydrant, etc.)
Lead the charge in eliminating manual work by building robust automation and integration workflows using APIs, webhooks, and integration platforms
Provide technical guidance, review system architecture, and contribute to complex integration and automation projects
Serve as the primary technical expert for the team's domain
Partner with stakeholders across Security, IT, and Engineering to understand their needs, gather requirements, and ensure seamless delivery of solutions
Champion best practices for application governance, security, and data management
Lead the strategy and execution of enterprise AI solutions and productivity tools
Requirements:
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field
8+ years of experience in IT, software engineering, or systems engineering
at least 3+ years in leading engineering teams in delivering complex, large-scale enterprise applications or platform services
Deep, hands-on experience administering and integrating a suite of modern SaaS applications (e.g., Atlassian suite, Google Workspace, Slack, an incident management platform)
Strong proficiency in a scripting language (e.g., Python, JavaScript/Google Apps Script) and extensive experience with APIs, webhooks, and integration platforms
Experience in implementing and leveraging AI solutions
Strong understanding of APIs, integrations, and cloud-native architectures